{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5d904dee",
   "metadata": {},
   "source": [
    "# Example 3: Classification"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31bcb9ac",
   "metadata": {},
   "source": [
    "### Let's first treat the problem as a regression problem (output dimension = 1, MSE loss). "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "908489de",
   "metadata": {},
   "source": [
    "### create the two moon dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "763d1fb4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f8960058c10>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from kan import KAN\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.datasets import make_moons\n",
    "import torch\n",
    "import numpy as np\n",
    "\n",
    "dataset = {}\n",
    "train_input, train_label = make_moons(n_samples=1000, shuffle=True, noise=0.1, random_state=None)\n",
    "test_input, test_label = make_moons(n_samples=1000, shuffle=True, noise=0.1, random_state=None)\n",
    "\n",
    "dataset['train_input'] = torch.from_numpy(train_input)\n",
    "dataset['test_input'] = torch.from_numpy(test_input)\n",
    "dataset['train_label'] = torch.from_numpy(train_label[:,None])\n",
    "dataset['test_label'] = torch.from_numpy(test_label[:,None])\n",
    "\n",
    "X = dataset['train_input']\n",
    "y = dataset['train_label']\n",
    "plt.scatter(X[:,0], X[:,1], c=y[:,0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06649143",
   "metadata": {},
   "source": [
    "### Train KAN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0a59179d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "train loss: 1.55e-01 | test loss: 1.63e-01 | reg: 5.98e+00 : 100%|██| 20/20 [00:02<00:00,  7.58it/s]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(1.0, 0.9980000257492065)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = KAN(width=[2,1], grid=3, k=3)\n",
    "\n",
    "def train_acc():\n",
    "    return torch.mean((torch.round(model(dataset['train_input'])[:,0]) == dataset['train_label'][:,0]).float())\n",
    "\n",
    "def test_acc():\n",
    "    return torch.mean((torch.round(model(dataset['test_input'])[:,0]) == dataset['test_label'][:,0]).float())\n",
    "\n",
    "results = model.train(dataset, opt=\"LBFGS\", steps=20, metrics=(train_acc, test_acc));\n",
    "results['train_acc'][-1], results['test_acc'][-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d92afc4",
   "metadata": {},
   "source": [
    "### Automatic symbolic regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ec64a6b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fixing (0,0,0) with sin, r2=0.9737825480476489\n",
      "fixing (0,1,0) with tan, r2=0.9779941633696527\n"
     ]
    },
    {
     "data": {
      "text/latex": [
       "$\\displaystyle 0.39 \\sin{\\left(3.1 x_{1} + 7.85 \\right)} - 0.77 \\tan{\\left(0.95 x_{2} - 3.4 \\right)} + 0.49$"
      ],
      "text/plain": [
       "0.39*sin(3.1*x_1 + 7.85) - 0.77*tan(0.95*x_2 - 3.4) + 0.49"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lib = ['x','x^2','x^3','x^4','exp','log','sqrt','tanh','sin','tan','abs']\n",
    "model.auto_symbolic(lib=lib)\n",
    "formula = model.symbolic_formula()[0][0]\n",
    "formula"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cee6c7c8",
   "metadata": {},
   "source": [
    "### How accurate is this formula?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "dd5226ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train acc of the formula: tensor(0.9990)\n",
      "test acc of the formula: tensor(0.9990)\n"
     ]
    }
   ],
   "source": [
    "# how accurate is this formula?\n",
    "def acc(formula, X, y):\n",
    "    batch = X.shape[0]\n",
    "    correct = 0\n",
    "    for i in range(batch):\n",
    "        correct += np.round(np.array(formula.subs('x_1', X[i,0]).subs('x_2', X[i,1])).astype(np.float64)) == y[i,0]\n",
    "    return correct/batch\n",
    "\n",
    "print('train acc of the formula:', acc(formula, dataset['train_input'], dataset['train_label']))\n",
    "print('test acc of the formula:', acc(formula, dataset['test_input'], dataset['test_label']))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a77c90a",
   "metadata": {},
   "source": [
    "## Let's then treat the problem as a classification problem (output dimension = 2, crossentropy loss)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b03f2dd0",
   "metadata": {},
   "source": [
    "### Create the two moon datatset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "71c1d738",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7f89817a17f0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from kan import KAN\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.datasets import make_moons\n",
    "import torch\n",
    "import numpy as np\n",
    "\n",
    "dataset = {}\n",
    "train_input, train_label = make_moons(n_samples=1000, shuffle=True, noise=0.1, random_state=None)\n",
    "test_input, test_label = make_moons(n_samples=1000, shuffle=True, noise=0.1, random_state=None)\n",
    "\n",
    "dataset['train_input'] = torch.from_numpy(train_input)\n",
    "dataset['test_input'] = torch.from_numpy(test_input)\n",
    "dataset['train_label'] = torch.from_numpy(train_label)\n",
    "dataset['test_label'] = torch.from_numpy(test_label)\n",
    "\n",
    "X = dataset['train_input']\n",
    "y = dataset['train_label']\n",
    "plt.scatter(X[:,0], X[:,1], c=y[:])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "494fe1d3",
   "metadata": {},
   "source": [
    "### Train KAN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "13ec74e5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "train loss: 0.00e+00 | test loss: 7.12e-01 | reg: 1.14e+03 : 100%|██| 20/20 [00:03<00:00,  6.13it/s]\n"
     ]
    }
   ],
   "source": [
    "model = KAN(width=[2,2], grid=3, k=3)\n",
    "\n",
    "def train_acc():\n",
    "    return torch.mean((torch.argmax(model(dataset['train_input']), dim=1) == dataset['train_label']).float())\n",
    "\n",
    "def test_acc():\n",
    "    return torch.mean((torch.argmax(model(dataset['test_input']), dim=1) == dataset['test_label']).float())\n",
    "\n",
    "results = model.train(dataset, opt=\"LBFGS\", steps=20, metrics=(train_acc, test_acc), loss_fn=torch.nn.CrossEntropyLoss());"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e36b0f3",
   "metadata": {},
   "source": [
    "### Automatic symbolic regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "91b4c228",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fixing (0,0,0) with sin, r2=0.8302683276572508\n",
      "fixing (0,0,1) with sin, r2=0.7800130680092008\n",
      "fixing (0,1,0) with x^3, r2=0.9535750788608285\n",
      "fixing (0,1,1) with x^3, r2=0.9533527864007133\n"
     ]
    }
   ],
   "source": [
    "lib = ['x','x^2','x^3','x^4','exp','log','sqrt','tanh','sin','abs']\n",
    "model.auto_symbolic(lib=lib)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "83606957",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$\\displaystyle - 3227.26 \\left(0.21 - x_{2}\\right)^{3} - 837.31 \\sin{\\left(3.13 x_{1} + 1.42 \\right)} - 124.65$"
      ],
      "text/plain": [
       "-3227.26*(0.21 - x_2)**3 - 837.31*sin(3.13*x_1 + 1.42) - 124.65"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "formula1, formula2 = model.symbolic_formula()[0]\n",
    "formula1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9fa988e3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/latex": [
       "$\\displaystyle 3138.94 \\left(0.21 - x_{2}\\right)^{3} + 942.35 \\sin{\\left(3.19 x_{1} + 1.4 \\right)} + 178.4$"
      ],
      "text/plain": [
       "3138.94*(0.21 - x_2)**3 + 942.35*sin(3.19*x_1 + 1.4) + 178.4"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "formula2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0cfce819",
   "metadata": {},
   "source": [
    "### How accurate is this formula?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ecd368f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train acc of the formula: tensor(0.9700)\n",
      "test acc of the formula: tensor(0.9660)\n"
     ]
    }
   ],
   "source": [
    "# how accurate is this formula?\n",
    "def acc(formula1, formula2, X, y):\n",
    "    batch = X.shape[0]\n",
    "    correct = 0\n",
    "    for i in range(batch):\n",
    "        logit1 = np.array(formula1.subs('x_1', X[i,0]).subs('x_2', X[i,1])).astype(np.float64)\n",
    "        logit2 = np.array(formula2.subs('x_1', X[i,0]).subs('x_2', X[i,1])).astype(np.float64)\n",
    "        correct += (logit2 > logit1) == y[i]\n",
    "    return correct/batch\n",
    "\n",
    "print('train acc of the formula:', acc(formula1, formula2, dataset['train_input'], dataset['train_label']))\n",
    "print('test acc of the formula:', acc(formula1, formula2, dataset['test_input'], dataset['test_label']))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
